Lachlan Kermode is a machine learning and systems engineer with a decade of experience building software at the hardware-software boundary, specializing in streaming engines and vector databases implemented in Rust. Currently a Brown University graduate student pursuing distributed systems research alongside a PhD in Modern Culture and Media, he blends rigorous systems engineering with theoretical perspectives on computing. His background spans full-stack and DevOps work—React, Vue, Python, Go, Ansible, and Terraform—plus production distributed systems in Node, Java, and Flink. He has applied ML in practice and research, co-authoring a NeurIPS paper on synthetic data, and has shaped live platforms through CI/CD and infrastructure work. Based in Providence, RI, Lachlan combines hands-on engineering with scholarly inquiry, making him adept at translating cutting-edge research into deployable systems.
10 years of coding experience
4 years of employment as a software developer
Auckland Grammar School
Doctor of Philosophy - PhD, Modern Culture and Media, Doctor of Philosophy - PhD, Modern Culture and Media at Brown University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Princeton University
Contributions:8 reviews, 422 commits, 2 PRs in 3 years 5 months
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